Advanced Computing for Image-Guided Intervention Special issue on Elsevier Neurocomputing http://www.journals.elsevier.com/neurocomputing/call-for-papers/advanced-computing-for-image-guided-intervention/ Call for Paper: In the past years, the rapidly growing area of image-guided intervention has dramatically changed the way how a typical surgery is carried out in an operation room. We have witnessed that traditional open surgery is gradually replaced by minimally invasive or non-invasive procedures. In comparison with conventional open surgeries, this new type of procedures has advantages of shorter patient recovery times, greater patient comfort, and lower risk of complications. Imaging is the key to the image-guided intervention, involving pre-operative planning, intra-operative execution, post-operative assessment and verification. It becomes essential to support both diagnosis and therapy. To achieve successful interventions, usually multi-disciplinary knowledge and techniques are required such as physics, chemistry, electronics, mechatronics, software, and signal/image processing. Especially, signal/image processing and computing plays an increasingly important role, enabling the presentation of reliable and accurate information to the physician. In the past twenty years, this field has been greatly expanded from the developments of low-level processing techniques, such as signal filtering and enhancement, to the medium-level image registration and fusion, segmentation and motion tracking, further to the inventions of high-level signal/image interpretation or classification techniques. Examples include tissue classification/characterization from different imaging modalities. Such advanced techniques assist the physician to understand better the information and offers valuable inputs for the decision making. At the same time, we have observed a trend in emerging imaging technologies in new clinical applications, such as embedded imaging sensors within in-body catheters, which offers new perspectives in the whole processing of navigation, tracking and visualization. This special issue aims at capturing the latest advances of the research community working on image-guided intervention. We are soliciting original contributions and encouraging the work for (1) novel fundamental techniques, and (2) showcasing robust systems with emerging applications. Topics of interest include, but are not limited to: * Advanced signal/image processing algorithms for navigation, tracking and visualization * New algorithm design for real-time imaging and information extraction * Image registration & fusion from multiple imaging sources and/or images from different stages during the intervention * Model-based image segmentation, 3D modeling and visualization * Signal/image processing in new clinical applications * Signal/image processing with emerging imaging modalities * Signal/image transformation or feature extraction for improved clinical understanding. * Database support for algorithm validation and/or training * Signal/image classification and interpretation, e.g. based on machine learning or pattern classification * Emerging applications using medical imaging techniques Important Dates: Submission of full papers 31. May, 2013 Notification to authors 15. Oct, 2013 Publication data TBD Submission of Manuscripts Prospective authors should visit http://www.elsevier.com/journals/neurocomputing/0925-2312/guide-for-authors for information on paper submission. Authors must submit their papers electronically by using online manuscript submission at: http://ees.elsevier.com/neucom/. To ensure that all manuscripts are correctly included into the special issue, it is important that authors select the acronym "ACIGI" of this special issue when they reach the "Article Type" step in the submission process. Guest Editors: Dr. Fei Zuo Philips Research, Eindhoven, The Netherlands fei.zuo@philips.com Dr. Jungong Han Civolution Technology, Eindhoven, The Netherlands jungonghan77@gmail.com Prof. Pingkun Yan Chinese Academy of Sciences, Xi’an, China pingkun@ieee.org Dr. Hans van Assen Eindhoven University of Technology, Eindhoven, The Netherlands h.c.v.assen@tue.nl Dr. Kenji Suzuki The University of Chicago, Chicago, USA suzuki@uchicago.edu